4 citations · 4 across the 3 of their papers we have counts for
4 papers · 1 filter
MIDI-VALLE: Improving Expressive Piano Performance Synthesis Through Neural Codec Language Modelling
Jingjing Tang, Xin Wang, Zhe Zhang +3
Generating expressive audio performances from music scores requires models to capture both instrument acoustics and human interpretation. Traditional music performance synthesis pi…
Towards An Integrated Approach for Expressive Piano Performance Synthesis from Music Scores
Jingjing Tang, Erica Cooper, Xin Wang +2
This paper presents an integrated system that transforms symbolic music scores into expressive piano performance audio. By combining a Transformer-based Expressive Performance Rend…
JAZZVAR: A Dataset of Variations found within Solo Piano Performances of Jazz Standards for Music Overpainting
Eleanor Row, Jingjing Tang, George Fazekas
Jazz pianists often uniquely interpret jazz standards. Passages from these interpretations can be viewed as sections of variation. We manually extracted such variations from solo j…
Reconstructing Human Expressiveness in Piano Performances with a Transformer Network
Jingjing Tang, Geraint Wiggins, Gyorgy Fazekas
Capturing intricate and subtle variations in human expressiveness in music performance using computational approaches is challenging. In this paper, we propose a novel approach for…